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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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LevelMaster Degree or equivalent Skills/Qualifications Hold a BSc/MSc in PHYSICS and fulfil the requirements to be admitted into the XXX PhD program at the Universitat de Barcelona. https://www.ub.edu
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for estimating plant population size and change Mathematical statistics Description: We are looking for a dedicated and goal-oriented PhD student who wants to contribute to the development of methods
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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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be completed before the start date of the PhD position); Knowledge of, and experience with, statistical methods and applications; Good or excellent programming skills in R; Good or excellent written
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research. Entry Requirements This studentship is open to UK nationals, with an expected start date of October 2026. Applicants must meet the standard entry requirements for the Psychology PhD programme
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 1 day ago
the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs for both life scientists and computational scientists/machine learning experts
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20 Dec 2025 Job Information Organisation/Company KU LEUVEN Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 16 Feb 2026
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, Dr Eder Zavala, and Prof. Marcus Tindall Location: University of Reading, UK Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD candidate: ML-based prediction of flood types based on atmospheric and catchment attributes Are you